An emerging class of interactive wearable cognitive assistance applications is poised to become one of the key demonstrators of edge computing infrastructure. In this paper, we design seven such applications and evaluate their performance in terms of latency across a range of edge computing configurations, mobile hardware, and wireless networks,

IKEA Stool Assembly: Wearable Cognitive AssistantThis Gabriel application was created by Mihir Bala, a talented freshman CS student from the University of Michigan, as an NSF Research Experience for Undergradautes project under the mentorship of Zhuo Chen. In addition to being another example of a Gabriel application, it offers the

Computer vision based technologies have seen widespread adoption over the recent years. This use is not limited to the rapid adoption of facial recognition technology but extends to facial expression recognition, scene recognition and more. These developments raise privacy concerns and call for novel solutions to ensure adequate user awareness,

Situational awareness involves the timely acquisition of knowledge about real-world events, distillation of those events into higher-level conceptual constructs, and their synthesis into a coherent context-sensitive view. We explore how convergent trends in video sensing, crowd sourcing and edge computing can be harnessed to create a shared real-time information system

We present OpenFace, our new open-source face recognition system that approaches state-of-the-art accuracy. Integrating OpenFace with inter-frame tracking, we build RTFace, a mechanism for denaturing video streams that selectively blurs faces according to specified policies at full frame rates. This enables privacy management for live video analytics while providing a

As video cameras proliferate, the ability to scalably capture and search their data becomes important. Scalability is improved by performing video analytics on cloudlets at the edge of the Internet, and only shipping extracted index information and meta-data to the cloud. In this setting, we describe interactive data exploration (IDE)

This demo shows two things. First, it shows how Gabriel can use much more sophisticated computer vision (based on convolutional neural nets) than the much simpler computer vision algorithms used in demos such as Lego and Ping-Pong. Second, it shows how different kinds of wearable devices (Google Glass and Microsoft

In our talks on Gabriel, we have often mentioned assembly of IKEA kits as an example of how step by step guidance and prompt detection of errors could be valuable. This video shows a Gabriel application to assemble a genuine IKEA kit (a table lamp) purchased off the shelf at

Industry investment and research interest in edge computing, in which computing and storage nodes are placed at the Internet's edge in close proximity to mobile devices or sensors, have grown dramatically in recent years. This emerging technology promises to deliver highly responsive cloud services for mobile computing, scalability and privacy-policy

Unsolicited by us, this video was made by a startup company VIZR Tech to illustrate the potential of wearable cognitive assistance in medical training.The video provides background to explain relevant concepts to the company's target audience. The company already uses Google Glass (with the camera blocked) in medical training,